Expert recommendation for knowledge management in academia

✍ Scribed by Tamara Heck; Oliver Hanraths; Wolfgang G. Stock

• Publisher: Wiley (John Wiley & Sons)
• Year: 2011
• Tongue: English
• Weight: 599 KB
• Volume: 48
• Category: Article
• ISSN: 0044-7870
• DOI: 10.1002/meet.2011.14504801365

✦ Synopsis

Recommendation systems are not only important in ecommerce, but in academia as well: They support scientists in finding relevant literature and also potential collaboration partners. It is essential that such a recommendation system proposes the most relevant people. Scientometric similarity measurements like co-citation and bibliographic coupling analysis have proved to give a good representation of research activities and hence it can be said that they put authors with similar research together and detect possible collaborations. Our aim is to implement a recommendation system for a target author who searches for collaboration colleagues. The research question is: 1) Can we propose a relevant author cluster for a target scientist? Furthermore we try to apply user data from the social bookmarking system CiteULike. The second research question is: 2) Is this user-based data also relevant for our target scientist and does it recommend different results? Our first outcomes of this work in progress are evaluated by our target authors.